SA Byron, KR Van Keuren-Jensen… - Nature Reviews …, 2016 - nature.com
With the emergence of RNA sequencing (RNA-seq) technologies, RNA-based biomolecules hold expanded promise for their diagnostic, prognostic and therapeutic applicability in …
N Kerimov, JD Hayhurst, K Peikova, JR Manning… - Nature …, 2021 - nature.com
Many gene expression quantitative trait locus (eQTL) studies have published their summary statistics, which can be used to gain insight into complex human traits by downstream …
D Kim, JM Paggi, C Park, C Bennett… - Nature biotechnology, 2019 - nature.com
The human reference genome represents only a small number of individuals, which limits its usefulness for genotyping. We present a method named HISAT2 (hierarchical indexing for …
We introduce Salmon, a lightweight method for quantifying transcript abundance from RNA– seq reads. Salmon combines a new dual-phase parallel inference algorithm and feature-rich …
Single-cell RNA sequencing has enabled the characterization of highly specific cell types in many tissues, as well as both primary and stem cell-derived cell lines. An important facet of …
RNA sequencing (RNA-Seq) uses the capabilities of high-throughput sequencing methods to provide insight into the transcriptome of a cell. Compared to previous Sanger sequencing …
Normalization of RNA-sequencing (RNA-seq) data has proven essential to ensure accurate inference of expression levels. Here, we show that usual normalization approaches mostly …
We are in a phase of unprecedented progress in identifying genetic loci that cause variation in traits ranging from growth and fitness in simple organisms to disease in humans …
To the Editor: Analysis of raw reads from RNA sequencing (RNA-seq) makes it possible to reconstruct complete gene structures, including multiple splice variants, without relying on …